iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3086
Single Precision Score
14349
Half Precision Score
14068
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 27 2025 09:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,8 |
| Motherboard | J522AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1308
243.2 IPS |
|
|
Image Classification (HP)
|
100% |
5871
1.09 KIPS |
|
|
Image Classification (Q)
|
96% |
5671
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8888
144.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9140
148.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6005
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
67230
78.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
64454
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1387
110.0 IPS |
|
|
Object Detection (HP)
|
99% |
6579
523.4 IPS |
|
|
Object Detection (Q)
|
91% |
6048
483.2 IPS |
|
|
Face Detection (SP)
|
100% |
2979
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
13018
154.7 IPS |
|
|
Face Detection (Q)
|
100% |
11959
142.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5491
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
42513
327.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
45913
358.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16474
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119405
153.5 IPS |
|
|
Style Transfer (Q)
|
96% |
112154
144.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3459
127.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23328
861.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22936
846.9 IPS |
|
|
Text Classification (SP)
|
100% |
2389
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4244
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4207
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2471
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2451
42.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2529
43.7 IPS |
